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3D Printing of Materials and Printing Parameters with Animal Resources: A Review
Open accessAbstract
This study was conducted to investigate the bactericidal effect of nisin (Nisin) only, atmospheric pressure plasma (APP) only, and a combination of APP and nisin (APP+Nisin) on beef jerky and sliced ham inoculated with Escherichia coli O157:H7, gram-negative bacteria. The bactericidal effect against E. coli O157:H7 and Listeria monocytogenes was confirmed using a nisin solution at a concentration of 0–100 ppm, and APP+Nisin was tested on beef jerky and sliced ham using 100 ppm nisin. Beef jerky and sliced ham were treated with APP for 5 min and 9 min, respectively. In the bacterial solution, 100 ppm nisin out of 0–100 ppm nisin exhibited the highest bactericidal activity against L. monocytogenes (gram-positive bacteria; p<0.05); however, it did not exhibit bactericidal effects against E. coli O157:H7 (gram-negative bacteria). The APP+Nisin exhibited a 100% reduction rate in both E. coli O157:H7 and L. monocytogenes compared to the control group, and was more effective than the Nisin. The APP+Nisin decreased the number of colonies formed by 0.80 and 1.96 Log CFU/g for beef jerky and sliced ham, respectively, compared to the control, and exhibited a higher bactericidal effect compared to the Nisin (p<0.05). These results demonstrate the synergistic bactericidal effect of APP and nisin, providing a possible method to improve the limitations of nisin against gram-negative bacteria. In addition, this technology has the potential to be applied to various meats and meat products to control surface microorganisms.
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“During the printing process, AI algorithms can dynamically adjust parameters such as extrusion speed [44,44], nozzle temperature, and layer height to maintain consistent print quality and reduce material waste [37].”
From Towards the development of foods 3D printer: Trends and technologies for foods printing (2024) · cites this paper as [44]
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Cited by
Sorted by citations
Towards the development of foods 3D printer: Trends and technologies for foods printing
Neamah, H. A., & Tandio, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e33882 · Cited by 43
“During the printing process, AI algorithms can dynamically adjust parameters such as extrusion speed [44,44], nozzle temperature, and layer height to maintain consistent print quality and reduce material waste [37].”
BackgroundMethod
Metadata
- Authors
- Jeon, E. Y., Kim, Y., Yun, H.-J., Kim, B.-K., & Choi, Y.-S.
- Affiliations
- Korea Food Research Institute (KR)
- Seoul National University (KR)
- Venue
- Food Science of Animal Resources
- Published
- 2024-03
- Volume
- 44
- Issue
- 2
- Pages
- 225-238
- ISSN
- 2636-0772 (ISSN-L)
- 2636-0780
- PMC
- PMC11097027
- OpenAlex
- W4382322568
- Cited by
- 19
- References
- 1
- Citations by year
- 2026: 11 · 2025: 4 · 2024: 4
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Food Science of Animal Resources (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Korea Food Research Institute (E0211200-03)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Listeria monocytogenes in Food Safety
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atmospheric-Pressure Plasma Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Microbial Inactivation Methods
- Keywords
- nisin, atmospheric pressure plasma, Escherichia coli O157:H7, Listeria monocytogenes, synergistic bactericidal effect, beef jerky, sliced ham, antimicrobial peptides, meat safety
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